Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:

Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrie...

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Main Authors: Fu, G., Prata, F., Xiang Lin, H., Heemink, A., Segers, A., Lu, S.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2017
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4
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spelling fttno:oai:tudelft.nl:uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 2023-05-15T16:09:30+02:00 Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption: Fu, G. Prata, F. Xiang Lin, H. Heemink, A. Segers, A. Lu, S. 2017-01-01 http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 en eng Copernicus GmbH uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 745606 http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4 Atmospheric Chemistry and Physics, 2, 17, 1187-1205 Environment Environment & Sustainability Urbanisation 2015 Urban Mobility & Environment CAS - Climate Air and Sustainability ELSS - Earth Life and Social Sciences article 2017 fttno 2022-04-10T16:47:26Z Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations. In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space. Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajökull volcano is about 6h. © 2017 The Author(s). Article in Journal/Newspaper Eyjafjallajökull TU Delft: Institutional Repository (Delft University of Technology)
institution Open Polar
collection TU Delft: Institutional Repository (Delft University of Technology)
op_collection_id fttno
language English
topic Environment
Environment & Sustainability
Urbanisation
2015 Urban Mobility & Environment
CAS - Climate
Air and Sustainability
ELSS - Earth
Life and Social Sciences
spellingShingle Environment
Environment & Sustainability
Urbanisation
2015 Urban Mobility & Environment
CAS - Climate
Air and Sustainability
ELSS - Earth
Life and Social Sciences
Fu, G.
Prata, F.
Xiang Lin, H.
Heemink, A.
Segers, A.
Lu, S.
Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:
topic_facet Environment
Environment & Sustainability
Urbanisation
2015 Urban Mobility & Environment
CAS - Climate
Air and Sustainability
ELSS - Earth
Life and Social Sciences
description Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations. In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space. Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajökull volcano is about 6h. © 2017 The Author(s).
format Article in Journal/Newspaper
author Fu, G.
Prata, F.
Xiang Lin, H.
Heemink, A.
Segers, A.
Lu, S.
author_facet Fu, G.
Prata, F.
Xiang Lin, H.
Heemink, A.
Segers, A.
Lu, S.
author_sort Fu, G.
title Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:
title_short Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:
title_full Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:
title_fullStr Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:
title_full_unstemmed Data assimilation for volcanic ash plumes using a satellite observational operator: A case study on the 2010 Eyjafjallajökull volcanic eruption:
title_sort data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 eyjafjallajökull volcanic eruption:
publisher Copernicus GmbH
publishDate 2017
url http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4
genre Eyjafjallajökull
genre_facet Eyjafjallajökull
op_source Atmospheric Chemistry and Physics, 2, 17, 1187-1205
op_relation uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4
745606
http://resolver.tudelft.nl/uuid:70c674f0-1177-4ce0-8f14-d1b3eb8511b4
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